{"id":6217,"date":"2019-11-06T15:38:47","date_gmt":"2019-11-06T15:38:47","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=6217"},"modified":"2020-11-09T05:58:32","modified_gmt":"2020-11-09T05:58:32","slug":"top-machine-learning-applications-in-mobile-apps","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/","title":{"rendered":"Le migliori applicazioni di apprendimento automatico nelle applicazioni mobili"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Indice dei contenuti<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f1664e59dd7\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69f1664e59dd7\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Finance_and_Banking\" title=\"Finanza e banche\">Finanza e banche<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Healthcare\" title=\"Sanit\u00e0\u00a0\">Sanit\u00e0\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Retail_and_ecommerce\" title=\"Vendita al dettaglio e commercio elettronico\u00a0\">Vendita al dettaglio e commercio elettronico\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Advertising_Marketing\" title=\"Pubblicit\u00e0 e marketing\">Pubblicit\u00e0 e marketing<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Real-World_Applications_of_Machine_Learning_in_Mobile_Apps\" title=\"Applicazioni del mondo reale dell&#039;apprendimento automatico nelle applicazioni mobili\u00a0\">Applicazioni del mondo reale dell'apprendimento automatico nelle applicazioni mobili\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Netflix\" title=\"Netflix\">Netflix<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Tinder\" title=\"Tinder\">Tinder<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Snapchat\" title=\"Snapchat\">Snapchat<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/#Google_Maps\" title=\"Google Maps\">Google Maps<\/a><\/li><\/ul><\/nav><\/div>\n<p><span style=\"font-weight: 400;\"><em>Juned Ghanchi scrive sulla cima <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=MLMobileApps\">apprendimento automatico<\/a> applicazioni in applicazioni mobili, alcune delle quali molti di noi usano quotidianamente. <\/em><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Mobile apps, thanks to their all-pervading and all-encompassing role across all spheres of life, have been the subject of several state-of-the-art technologies and innovations. For mobile apps to stand out from the crowd, new technologies are playing an instrumental role. As the demand for personalised user experience is exponentially growing across all digital applications, new technologies like Machine Learning and <a href=\"https:\/\/www.kolabtree.com\/blog\/it\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">Intelligenza artificiale<\/a> are playing a decisive role in meeting this demand.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ma come pu\u00f2 il Machine Learning potenziare le app mobili? Il ML viene utilizzato dagli sviluppatori di app mobili per fornire funzioni migliorate, che vanno dal riconoscimento dei volti e dal rilevamento delle persone ai motori di raccomandazione personalizzati. Ecco alcune interessanti applicazioni di machine learning nelle app mobili.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Finance_and_Banking\"><\/span><b>Finanza e banche<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">L'analisi predittiva nell'industria finanziaria e bancaria \u00e8 di enorme importanza poich\u00e9 la previsione precisa di crolli, bolle economiche o tendenze pu\u00f2 aiutare le organizzazioni a stare alla larga dai fattori di rischio, ottimizzando le opportunit\u00e0 di crescita. <\/span><b>Avvio dell'assicurazione <a href=\"https:\/\/econsultancy.com\/how-lemonade-disrupted-the-insurance-industry-and-built-a-multi-billion-dollar-business\/\">Limonata<\/a> ha lanciato un'applicazione per smartphone, che utilizza ML e chatbot per fornire servizi assicurativi.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Healthcare\"><\/span><b>Sanit\u00e0\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">L'assistenza sanitaria \u00e8 un altro settore cruciale, dove ci si aspetta che il machine learning giochi un ruolo enorme. Dalla diagnosi di precisione basata sul comportamento dell'utente alla creazione di una sanit\u00e0 pi\u00f9 proattiva e reattiva basata sull'input del paziente, questa tecnologia pu\u00f2 portare molta efficienza e affidabilit\u00e0 alle moderne pratiche sanitarie. Per alcune malattie pericolose per la vita, come il cancro, che richiede un rilevamento e una diagnosi precoce, l'apprendimento proattivo dei sintomi del paziente pu\u00f2 davvero giocare un ruolo vitale. L'apprendimento automatico pu\u00f2 anche aprire la strada a farmaci e trattamenti pi\u00f9 personalizzati per disturbi di diversa natura. <\/span><a href=\"https:\/\/www.kolabtree.com\/blog\/wearable-technology-changing-the-face-of-healthcare\/\"><b>Wearables<\/b><\/a><b> e il loro gioco associato app mobili stanno attualmente giocando un ruolo enorme, aiutando a monitorare la salute in tempo reale e fornire feedback.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Retail_and_ecommerce\"><\/span><b>Vendita al dettaglio e commercio elettronico\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">In tutto il settore della vendita al dettaglio, compresi i negozi di ecommerce, conoscere il comportamento e le abitudini dei clienti gioca un ruolo cruciale. Conoscere le preferenze, le inclinazioni e le intenzioni dei clienti pu\u00f2 aiutare i negozi ad affrontare le esigenze e le scelte dei clienti in modo pi\u00f9 preciso e pertinente. Le raccomandazioni personalizzate basate sugli input degli utenti possono aiutare un negozio a cogliere le opportunit\u00e0 di vendita in modo pi\u00f9 preciso. Alcune delle aree chiave in cui l'ecommerce <\/span><a href=\"https:\/\/www.indianappdevelopers.com\/\"><span style=\"font-weight: 400;\">sviluppatori di app<\/span><\/a><span style=\"font-weight: 400;\"> possono davvero trarre vantaggio dalle intuizioni basate sulla ML includono la ricerca di prodotti, le raccomandazioni, la previsione delle tendenze, le promozioni e il meccanismo di controllo delle frodi. <\/span><b>Un esempio di un'applicazione per lo shopping mobile che utilizza ML \u00e8 il gigante dell'ecommerce Amazon.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advertising_Marketing\"><\/span>Pubblicit\u00e0 e marketing<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Diversi marchi stanno sfruttando il potere della ML per mostrare annunci pertinenti agli utenti mirati. <a href=\"https:\/\/digiday.com\/marketing\/coca-cola-targeted-ads-based-facebook-instagram-photos\/\">Coca cola,<\/a> per esempio, utilizza un algoritmo di riconoscimento delle immagini per rilevare automaticamente le immagini dei suoi prodotti quando gli utenti caricano fotografie sui social media. Sulla base di queste informazioni, poi attinge alla conversazione e genera annunci per un pubblico pertinente. Alcune aziende stanno anche utilizzando la geolocalizzazione per mostrare notifiche mobili quando sei pi\u00f9 vicino a un negozio su cui hai gi\u00e0 cercato dei prodotti.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><cite>Leggi di pi\u00f9 da Kolabtree: <a href=\"https:\/\/www.kolabtree.com\/blog\/5-companies-using-big-data-and-ai-to-improve-performance\/\">5 aziende che usano Big Data e AI per migliorare le prestazioni<\/a><\/cite><br \/>\n<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Real-World_Applications_of_Machine_Learning_in_Mobile_Apps\"><\/span><b>Applicazioni del mondo reale dell'apprendimento automatico nelle applicazioni mobili\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Netflix\"><\/span><b>Netflix<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Netflix, l'app di video e media in streaming, utilizza il machine learning per fornire un'esperienza utente migliorata e migliorare il coinvolgimento degli utenti. Netflix utilizza la ML per soddisfare le preferenze, le scelte e le intenzioni dell'utente, in base alle sue attivit\u00e0. <\/span><a href=\"https:\/\/research.netflix.com\/research-area\/machine-learning\"><span style=\"font-weight: 400;\">Ricerca Netflix<\/span><\/a><span style=\"font-weight: 400;\"> delinea come il ML viene usato efficacemente nella loro rete.\u00a0\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Tinder\"><\/span><b>Tinder<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Tinder, l'app di incontri popolare a livello mondiale, ha gi\u00e0 battuto tutti i record in termini di coinvolgimento e soddisfazione degli utenti tra tutte le altre app di incontri. Tinder ora utilizza un algoritmo di Machine Learning per capire l'intento e le preferenze degli utenti in modo pi\u00f9 preciso, e capire come mostrarti un profilo su cui \u00e8 probabile che passerai il dito destro. Vox spiega l'algoritmo di Tinder <\/span><a href=\"https:\/\/www.vox.com\/2019\/2\/7\/18210998\/tinder-algorithm-swiping-tips-dating-app-science\"><span style=\"font-weight: 400;\">qui<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Snapchat\"><\/span><b>Snapchat<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Il Machine Learning non consiste solo nell'offrire ai clienti raccomandazioni perfette per garantire un risultato di vendita costante. Snapchat \u00e8 una delle poche app di successo che ha utilizzato tutte le capacit\u00e0 della tecnologia di Machine Learning. Filtri come 3D Paint in Snapchat sono grandi esempi di come la realt\u00e0 aumentata e il ML possono essere utilizzati insieme per una migliore visione del computer.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Google_Maps\"><\/span><b>Google Maps<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-6223\" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200.jpg 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-1024x683.jpg 1024w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-768x512.jpg 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-1080x720.jpg 1080w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps.jpg 1350w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200@2x.jpg 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><br \/>\nL'uso del Machine Learning da parte di Google Maps \u00e8 un altro esempio importante di come questa tecnologia pu\u00f2 garantire un'efficienza e un'usabilit\u00e0 ottimali per gli utenti finali. Invece di aspettare ogni volta l'input e il comando di un utente, Google Maps usa il ML per prevedere <\/span><a href=\"https:\/\/venturebeat.com\/2019\/06\/27\/how-google-maps-uses-machine-learning-to-predict-bus-traffic-delays-in-real-time\/\"><span style=\"font-weight: 400;\">ritardi degli autobus<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/ai.googleblog.com\/2017\/05\/updating-google-maps-with-deep-learning.html\"><span style=\"font-weight: 400;\">leggere i nomi delle strade<\/span><\/a><span style=\"font-weight: 400;\">, e altro ancora.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In conclusione, ML e AI stanno spianando la strada ad applicazioni pi\u00f9 intelligenti e amichevoli per i clienti che erano impensabili solo un paio di anni fa. Il futuro delle app mobili e delle interazioni digitali appartiene a queste tecnologie intelligenti.<\/span><\/p>\n<p><strong>Bisogno di parlare con un <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=MLMobileApps\">consulente di apprendimento automatico<\/a>? Lavora con esperti di ML, AI e scienza dei dati su Kolabtree.\u00a0<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>Juned Ghanchi writes about the top machine learning applications in mobile apps, some of which many of us use on a daily basis. Mobile apps, thanks to their all-pervading and all-encompassing role across all spheres of life, have been the subject of several state-of-the-art technologies and innovations. For mobile apps to stand out from the<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/\" title=\"Per saperne di pi\u00f9\">Per saperne di pi\u00f9<\/a><\/div>","protected":false},"author":12,"featured_media":6221,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[434,398,247,433],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Top Machine Learning Applications in Mobile Apps - The Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"Machine learning applications in mobile apps range from face recognition to personalized recommendations. Here are some interesting use cases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top Machine Learning Applications in Mobile Apps\" \/>\n<meta property=\"og:description\" content=\"Machine learning applications in mobile apps range from face recognition to personalized recommendations. Here are some interesting use cases.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/it\/top-machine-learning-applications-in-mobile-apps\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2019-11-06T15:38:47+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-11-09T05:58:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-mobile-apps.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1350\" \/>\n\t<meta property=\"og:image:height\" content=\"900\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ramya Sriram\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ramya Sriram\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minuti\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Top Machine Learning Applications in Mobile Apps - The Kolabtree Blog","description":"Machine learning applications in mobile apps range from face recognition to personalized recommendations. 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